New algorithm applied to vibration equations of time-varying system

被引:3
|
作者
Chen Rui-lin [1 ,2 ]
Zeng Qing-yuan [1 ]
Zhang Jun-yan [2 ]
机构
[1] Cent S Univ, Sch Architectural & Civil Engn, Changsha 410075, Hunan, Peoples R China
[2] Xiangtan Univ, Coll Civil Engn & Mech, Xiangtan 411105, Peoples R China
来源
基金
中国国家自然科学基金;
关键词
time-varying system; vibration analysis; precise integration algorithm;
D O I
10.1007/s11771-008-0314-2
中图分类号
TF [冶金工业];
学科分类号
0806 ;
摘要
Vibration equations of time-varying system are transformed to the form which is suitable to precise integration algorithm. Precision analysis and computation efficiency of new algorithm are implemented. The following conclusions can be got. Choosing matrixes M, G and K is certainly flexible. We can place left side of nonlinear terms of vibration equations of time-varying system into right side of equations in precise integration algorithms. The key of transformation from vibration equations of time-varying system to first order differential equations is to form matrix H, which should be assured to be nonsingular. With suitable disposal, precision and computation efficiency of precise integration algorithms are greatly larger than those of general methods.
引用
收藏
页码:57 / 60
页数:4
相关论文
共 50 条
  • [41] Parameter estimation for time-varying system based on improved genetic algorithm
    Xue, YC
    Yang, QW
    Qian, JX
    IECON-2002: PROCEEDINGS OF THE 2002 28TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, VOLS 1-4, 2002, : 2007 - 2010
  • [42] Time-varying vibration signal decomposition through linear time-varying filter based on Gabor expansion
    Xu Xiuzhong
    Zhang Zhiyi
    Hua Hongxing
    PROCEEDINGS OF THE FIRST INTERNATIONAL SYMPOSIUM ON TEST AUTOMATION & INSTRUMENTATION, VOLS 1 - 3, 2006, : 1848 - 1851
  • [43] A new vector quantization algorithm with annealing operation for time-varying data
    Yoshizawa, S
    Doki, S
    Okuma, S
    ICONIP'98: THE FIFTH INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING JOINTLY WITH JNNS'98: THE 1998 ANNUAL CONFERENCE OF THE JAPANESE NEURAL NETWORK SOCIETY - PROCEEDINGS, VOLS 1-3, 1998, : 546 - 549
  • [44] A new robust adaptive control algorithm for linear time-varying plants
    Zhang, CJ
    Chai, TY
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 1998, 29 (09) : 931 - 937
  • [45] Averaging of time-varying differential equations revisited
    Artstein, Zvi
    JOURNAL OF DIFFERENTIAL EQUATIONS, 2007, 243 (02) : 146 - 167
  • [46] On the Stability of Linear Time-Varying Differential Equations
    V. A. Zaitsev
    I. G. Kim
    Proceedings of the Steklov Institute of Mathematics, 2022, 319 : S298 - S317
  • [47] On the stability of linear time-varying differential equations
    Zaitsev, V. A.
    Kim, I. G.
    TRUDY INSTITUTA MATEMATIKI I MEKHANIKI URO RAN, 2022, 28 (03): : 94 - 113
  • [48] On the Stability of Linear Time-Varying Differential Equations
    Zaitsev, V. A.
    Kim, I. G.
    PROCEEDINGS OF THE STEKLOV INSTITUTE OF MATHEMATICS, 2022, 319 (SUPPL 1) : S298 - S317
  • [49] A new artificial life algorithm to solve time-varying optimization problem
    Guo, DW
    Kong, CL
    PROCEEDINGS OF THE 2004 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2004, : 2146 - 2148
  • [50] Remarks on the time-varying H∞ Riccati equations
    Ichikawa, A
    Katayama, H
    SYSTEMS & CONTROL LETTERS, 1999, 37 (05) : 335 - 345